Mariev F. Profile

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$5 USD/oră

cairo,

egypt

$5 USD/oră

Momentan, aici e ora 5:24 a.m.

S-a înregistrat pe octombrie 27, 2021

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Mariev F.

@marievfayez

0,0

(0 recenzii)

0,0

$5 USD/oră

cairo,

egypt

$5 USD/oră

Indisponibil

Proiecte finalizate

Indisponibil

Conform bugetului

Indisponibil

La timp

Indisponibil

Rata de angajare repetată

Data\Business Analyst

I graduated from the Faculty of Commerce, Business Administration, English Section, Business Information System (BIS) with a grade of Excellent with honors. After that, I gained great experience in a freelance software testing position. Ongoing working, I came to a realization of the crucial role data analysis plays in our lives, with plenty of untapped opportunities yet to be seized. Following my passion for data analysis, statistics, and data visualizations I have started a new chapter of lifelong so I dedicated myself to online learning to get a solid knowledge of SQL, Excel sheets specific in statistics formulas. I'm a fast learner and highly self-motivated.

Vezi toate opțiunile pentru Python Developers din Egypt

Discută cu Mariev F. despre proiect

Conectează-te pentru a discuta pe chat despre detalii.

Portfoliu

- Learn Python programming fundamentals such as data types and structures, variables, loops, and functions.
- Learn the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. Learn how to work with data in Python using libraries like NumPy and Pandas.
- Learn the data wrangling process of gathering, assessing, and cleaning data. Learn how to use Python to wrangle data programmatically and prepare it for deeper analysis.
- Learn about Digital Freelancing.

* Final projects: *
- Explore US Bikeshare Data:
Use Python to understand U.S. bikeshare data. Calculate statistics and build an interactive environment
where a user chooses the data and filter for a dataset to analyze.
- Wrangle and Analyze Data:
Gather data from a variety of sources and in a variety of formats, assess its quality and tidiness, then clean it.
Showcase your wrangling efforts through analyses and visualizations.

Data Analysis Professional Track

- Create workflow diagrams.
- Cleaning data.
- Joining data sets for reporting.
- Verifying data and conducting effective meetings.
- Learn techniques for repurposing, charting, and pivoting data.
- Learn helpful productivity-enhancing shortcuts and troubleshooting tips for the most popular data analytics program, Microsoft Excel.

Learning Data Analytics

- Learn advanced descriptive statistics needed for data analysis.
- Learn advanced SQL for data analysis.
- Learn the basics of data visualization.

Data Analysis track

- Learn about the basics of descriptive statistics needed for data analysis.
- Learn the basics of SQL for data analysis.

Verified certificate of completion

Data Analysis Professional Track

Learning Data Analytics

Data Analysis track

Verified certificate of completion

Recenzii

Modificările au fost salvate

Nu există recenzii!

Experiență

UTest

mai 2020 - Prezent

Identify problem areas and write defects report.

own business

nov. 2019 - Prezent

Buy makeup and skincare products and resell them.

EGO

mar. 2021 - iun. 2021 (3 luni, 1 zi)

worked data to know the movement of selling on all branches and transform items to increase sales.

Educație

Bachelor

Helwan University Cairo,

Egypt

2015 – 2019

(4 ani)

Calificări

Google

2022

By the end of this course: - Gain an understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job. - Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox. - Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process.

Udacity

2020

- Learn Python programming fundamentals such as data types and structures, variables, loops, and functions. - Learn the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. Learn how to work with data in Python using libraries like NumPy and Pandas. - Learn the data wrangling process of gathering, assessing, and cleaning data. Learn how to use Python to wrangle data programmatically and prepare it for deeper analysis. - Learn about Digital Freelancing.

2020

- Create workflow diagrams. - Cleaning data. - Joining data sets for reporting. - Verifying data and conducting effective meetings. - Learn techniques for repurposing, charting, and pivoting data. - Learn helpful productivity-enhancing shortcuts and troubleshooting tips for the most popular data analytics program, Microsoft Excel.